Search Results - binary metaheuristic algorithms

A survey on binary metaheuristic algorithms and their engineering applications: A survey on binary metaheuristic algorithms by Pan, Jeng-Shyang, Hu, Pei, Snášel, Václav, Chu, Shu-Chuan

“…This article presents a comprehensively state-of-the-art investigation of the engineering applications utilized by binary metaheuristic algorithms…”
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Binary metaheuristic algorithms for 0–1 knapsack problems: Performance analysis, hybrid variants, and real-world application by Mohamed Abdel-Basset, Reda Mohamed, Safaa Saber, Ibrahim M. Hezam, Karam M. Sallam, Ibrahim A. Hameed

“…This paper examines the performance of three binary metaheuristic algorithms when applied to two distinct knapsack problems (0…”
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A survey on binary metaheuristic algorithms and their engineering applications by Pan, Jeng-Shyang, Hu, Pei, Snášel, Václav, Chu, Shu-Chuan

“…This article presents a comprehensively state-of-the-art investigation of the engineering applications utilized by binary metaheuristic algorithms…”
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Multi-objective optimization of IoT-based green building energy system using binary metaheuristic algorithms by Wang, Qiong, Chen, Gang, Khishe, Mohammad, Ibrahim, Banar Fareed, Rashidi, Shima

“… (DPO). By combining SPO and DPO, six binary multi-objective optimization algorithms, including Xtreme gradient boosting (XGBoost…”
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Efficiency analysis of binary metaheuristic optimization algorithms for uncapacitated facility location problems by Sag, Tahir, Ihsan, Aysegul

“…This paper introduces binary adaptations of four metaheuristic optimization algorithms…”
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Optimum Location of Field Hospitals for COVID-19: A Nonlinear Binary Metaheuristic Algorithm by Ali Hassan, Said, Alnowibet, Khalid, Agrawal, Prachi, Wagdy Mohamed, Ali

“… (the set covering model, the maximal covering model, and the P-median model). The proposed nonlinear binary constrained model is a slight modification of the maximal covering model with a set of nonlinear constraints…”
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Learning the transfer function in binary metaheuristic algorithm for feature selection in classification problems by Nassiri, Zahra, Omranpour, Hesam

“… In this paper, the Binary Gray Wolf Optimization algorithm uses the Wrapper method for feature selection…”
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Binary Peacock Algorithm: A Novel Metaheuristic Approach for Feature Selection by Banati, Hema, Sharma, Richa, Yadav, Asha

“…Binary metaheuristic algorithms prove to be invaluable for solving binary optimization problems…”
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Examination and comparison of binary metaheuristic wrapper-based input variable selection for local and global climate information-driven one-step monthly streamflow forecasting by Ren, Kun, Wang, Xue, Shi, Xiaoyu, Qu, Jihong, Fang, Wei

“…•Binary metaheuristic-based shallow machine learning wrappers were examined.•MIC was employed to investigate the correlations…”
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B-MFO: A Binary Moth-Flame Optimization for Feature Selection from Medical Datasets by Nadimi-Shahraki, Mohammad H., Banaie-Dezfouli, Mahdis, Zamani, Hoda, Taghian, Shokooh, Mirjalili, Seyedali

“… To tackle this challenge, many metaheuristic algorithms are used to select effective features…”
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BE-GWO: Binary extremum-based grey wolf optimizer for discrete optimization problems by Banaie-Dezfouli, Mahdis, Nadimi-Shahraki, Mohammad H., Beheshti, Zahra

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A new binary chaos-based metaheuristic algorithm for software defect prediction by Arasteh, Bahman, Arasteh, Keyvan, Ghaffari, Ali, Ghanbarzadeh, Reza

“… Addressing this, selecting effective features for classification from the dataset becomes an NP-hard problem, often tackled using metaheuristic algorithms…”
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An Improved Binary Quantum-based Avian Navigation Optimizer Algorithm to Select Effective Feature Subset from Medical Data: A COVID-19 Case Study by Fatahi, Ali, Nadimi-Shahraki, Mohammad H., Zamani, Hoda

“… However, existing binary versions of metaheuristic algorithms have issues with convergence and lack an effective binarization method, resulting in suboptimal solutions that hinder diagnosis and prediction accuracy…”
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Binary Starling Murmuration Optimizer Algorithm to Select Effective Features from Medical Data by Nadimi-Shahraki, Mohammad H., Asghari Varzaneh, Zahra, Zamani, Hoda, Mirjalili, Seyedali

“… Many wrapper-based methods using metaheuristic algorithms have been proposed to select effective features…”
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Binary Approaches of Quantum-Based Avian Navigation Optimizer to Select Effective Features from High-Dimensional Medical Data by Nadimi-Shahraki, Mohammad H., Fatahi, Ali, Zamani, Hoda, Mirjalili, Seyedali

“… Therefore, this paper is devoted to developing an efficient binary version of the quantum-based avian navigation optimizer algorithm (QANA…”
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Wrapper Feature Selection: Comparative Study of Binary Metaheuristic Algorithms by Salmi, Abderezak, Teklal, Kahina, Hammouche, Kamal

“… As an alternative, binary metaheuristics are effective tools for finding a sub-optimal solution for feature selection without testing all possible solutions…”
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Binary Aquila Optimizer for Selecting Effective Features from Medical Data: A COVID-19 Case Study by Nadimi-Shahraki, Mohammad H., Taghian, Shokooh, Mirjalili, Seyedali, Abualigah, Laith

“… The presence of redundant and irrelevant features in datasets negatively influences algorithms and leads to decreases in the performance of the algorithms…”
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Binary whale optimization algorithm: a new metaheuristic approach for profit-based unit commitment problems in competitive electricity markets by Reddy K., Srikanth, Panwar, Lokesh, Panigrahi, B. K., Kumar, Rajesh

“…This article presents a metaheuristic approach, the binary whale optimization algorithm (BWOA…”
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Evaluating the impact of improved filter-wrapper input variable selection on long-term runoff forecasting using local and global climate information by Yang, Binlin, Chen, Lu, Yi, Bin, Li, Siming

“… However, binary metaheuristic algorithms (BMAs) in wrapper input variable selection (WIVS), such as golden jackal optimization…”
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Ensemble of multi-objective metaheuristic algorithms for multi-objective unconstrained binary quadratic programming problem by Zhou, Ying, Kong, Lingjing, Wu, Ziyan, Liu, Shaopeng, Cai, Yiqiao, Liu, Ye

“… In the proposed algorithm, multiple metaheuristics exhibiting different search behaviors are managed and controlled as low-level metaheuristics in an algorithm pool, and the most…”
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